Publications

Aditya Bhattacharya, Jeroen Ooge, Gregor Štiglic, Katrien Verbert (2023). Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. In 28th International Conference on Intelligent User Interfaces (IUI ‘23), March 27–31, 2023, Sydney, NSW, Australia; 2023; pp. 1 - 16.

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Primož Kocbek, Lucija Gosak, Kasandra Musović, Gregor Štiglic (2022). Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study. In LNCS, 13263, pp. 373-382.

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Lucija Gosak, Majda Pajnkihar, FAAN, FEANS, Gregor Štiglic (2022). The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols, 11(6), p. e31652.

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Gregor Štiglic, Kasandra Musović, Lucija Gosak, Nino Fijačko, Primož Kocbek (2022). Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare. In 2022 IEEE 10th International Conference on Healthcare Informatics, Jun 11.-14., Rochester, Minnesota, USA, pp. 599-605.

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Simon Kocbek, Primož Kocbek, Lucija Gosak, Nino Fijačko, Gregor Štiglic (2022). Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models. Journal of Personalized Medicine, 12(3), p. 368.

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Gregor Štiglic, Ruth Masterson Creber, Leona Cilar Budler (2022). Internet Use and Psychosomatic Symptoms among University Students: Cross-Sectional Study. International Journal of Environmental Research and Public Health, 19(3), p. 1774.

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Lucija Gosak, Gregor Štiglic, Leona Cilar Budler, Isa Brito Félix, Katja Braam, Nino Fijačko, Mara Pereira Guerreiro, ML_en (2021). Digital Tools in Behavior Change Support Education in Health and Other Students: A Systematic Review. Healthcare, 10(1), p. 1.

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Nino Fijačko, Ruth Masterson Creber, Lucija Gosak, Primož Kocbek, Leona Cilar Budler, Peter Creber, Gregor Štiglic (2021). A Review of Mortality Risk Prediction Models in Smartphone Applications. Journal of Medical Systems, 45(12), p. 107.

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Jeroen Ooge, Gregor Štiglic, Katrien Verbert (2021). Explaining artificial intelligence with visual analytics in healthcare. WIREs Data Mining and Knowledge Discovery, 12(1), e1427.

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Lucija Gosak, Nino Fijačko, Carolina Chabrera Sanz, Esther Cabrera Torres, Gregor Štiglic (2021). Perception of the Online Learning Environment of Nursing Students in Slovenia: Validation of the DREEM Questionnaire. Healthcare, 9(8), p. 998.

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Nino Fijačko, Ruth Masterson Creber, Lucija Gosak, Gregor Štiglic, Dominic J. Egan, Brian Chaka, Nika Debeljak, Matej Strnad, Pavel Skok (2021). Evaluating Quality, Usability, Evidence-Based Content, and Gamification Features in Mobile Learning Apps Designed to Teach Children Basic Life Support: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth, 9(7), p. e25437.

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Robin De Croon, Leen Van Houdt, Nyi Nyi Htun, Gregor Štiglic, Katrien Verbert (2021). Health Recommender Systems: Systematic Review. Journal of Medical Internet Research, 23(6), p. e18035.

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Gregor Štiglic, Fei Wang, Aziz Sheikh, Gregor Štiglic (2021). Development and validation of the type 2 diabetes mellitus 10-year risk score prediction models from survey data. Primary Care Diabetes, 15(4), pp. 699-705.

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Leona Cilar Budler, Lucija Gosak, Dominika Vrbnjak, Majda Pajnkihar, FAAN, FEANS, Gregor Štiglic (2020). Emotional Intelligence among Nursing Students: Findings from a Longitudinal Study. Healthcare, 10(10), p. 2032.

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Simon Kocbek, Primož Kocbek, Leona Cilar Budler, Gregor Štiglic (2020). Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test. In DSHealth 2020: 2020 KDD Workshop on Applied Data Science for Healthcare: Trustable and Actionable AI for Healthcare, August 24, San Diego, CA, United States.

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Leon Kopitar, Primož Kocbek, Leona Cilar Budler, Aziz Sheikh, Gregor Štiglic (2020). Early detection of type 2 diabetes mellitus using machine learning-based prediction models. Scientific Reports, 10, p. 11981.

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Leona Cilar Budler, Majda Pajnkihar, FAAN, FEANS, Gregor Štiglic (2020). Interpreting influence of feature ranking in derivation of prediction models for screening questionnaires optimization. In 20th Industrial Conference on Data Mining ICDM 2020, Jul 21.-22., Amsterdam, pp. 67-78.

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Nino Fijačko, Lucija Gosak, Leona Cilar Budler, Alenka Novšak, Ruth Masterson Creber, Pavel Skok, Gregor Štiglic (2020). The Effects of Gamification and Oral Self-care on Oral Hygiene in Children: a Systematic Review of mHealth Apps. JMIR mHealth and uHealth, 8(7), pp. e16365.

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Gregor Štiglic, Primož Kocbek, Nino Fijačko, Marinka Zitnik, Katrien Verbert, Leona Cilar Budler (2020). Interpretability of machine learning based prediction models in healthcare. WIREs Data Mining and Knowledge Discovery,10(5), p. e1379.

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Leon Kopitar, Leona Cilar Budler, Primož Kocbek, Gregor Štiglic (2020). Local vs. global interpretability of machine learning models in type 2 diabetes mellitus screening. In LNCS, 11979, pp. 108-119.

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Primož Kocbek, Nino Fijačko, Goran Hrovat, Bright I Nwaru, Paige Wickner, Aziz Sheikh, Gregor Štiglic (2019). National and regional hospitalization rates for allergic disorders in the United States : a 17 year time-trend analysis. Allergy, 75(5), pp. 1243-1247.

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Gregor Štiglic, Roger Watson, Leona Cilar Budler (2019). R you ready? Using the R programme for statistical analysis and graphics. Research in Nursing & Health, 42(6), pp. 494-499.

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